Triple
T20019160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ragnar Östberg |
E494804
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Östberg |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Östberg | Statement: [Ragnar Östberg, familyName, Östberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Östberg Context triple: [Ragnar Östberg, familyName, Östberg]
-
A.
Östberg
chosen
Östberg is a Swedish surname most notably borne by architect Ragnar Östberg, designer of the Stockholm City Hall.
-
B.
Tällberg
Tällberg is a traditional Swedish village in the Dalarna region, known for its well-preserved wooden houses, scenic views, and tourism by Lake Siljan.
-
C.
Grafström
Grafström is a Swedish surname most notably associated with Gillis Grafström, a three-time Olympic gold medalist in figure skating.
-
D.
Öijer
Öijer is a Swedish surname most notably borne by the poet Bruno K. Öijer.
-
E.
Olofström
Olofström is a small industrial town in southern Sweden known for its automotive manufacturing, particularly its long association with Volvo.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6623e40748190b1abb0ead9acab4e |
completed | April 20, 2026, 5:28 p.m. |
Created at: April 11, 2026, 3:34 p.m.